Noise Removal from Epileptic EEG signals using Adaptive Filters-Reference-Cited by-同舟云学术

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Noise Removal from Epileptic EEG signals using Adaptive Filters

Published:2018-08-08 Issue: Volume: Page:37-47
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Janghel Rekh Ram,Sahu Satya Prakash,Tatiparti Gautam,Kose Mangesh

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-0923-6_4

Reference30 articles.

1. Majumdar, K.: Human scalp EEG processing: various soft computing approaches. Appl. Soft Comput. J. 11(8), 4433–4447 (2011)

2. Zhou, W., Gotman, J.: Removal of EMG and ECG artifacts from EEG based on wavelet transform and ICA. In: 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 1, pp. 392–395 (2004)

3. Agarwal, R., Gotman, J., Flanagan, D., Rosenblatt, B.: Automatic EEG analysis during long-term monitoring in the ICU. Electroencephalogr. Clin. Neurophysiol. 107(1), 44–58 (1998)

4. Gevins, A.S., Yeager, C.L., Diamond, S.L., Spire, J., Zeitlin, G.M., Gevins, A.H.: Automated analysis of the electrical activity of the human brain (EEG): A progress report. Proc. IEEE 63(10), 1382–1399 (1975)

5. Selvan, S., Srinivasan, R.: Removal of ocular artifacts from EEG using an efficient neural network based adaptive filtering technique. IEEE Signal Process. Lett. 6(12), 330–332 (1999)

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2. An Adaptive EEG Signal Filter Based on Discrete Wavelet Transform and Least Mean Square;2023 8th International Conference on Signal and Image Processing (ICSIP);2023-07-08

3. Comparative Analysis of Various Filtering Techniques for Denoising EEG Signals;2021 6th International Conference for Convergence in Technology (I2CT);2021-04-02

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